Senior Full-Stack Engineer: Talent Matching & AI Search

greenhouse; United States; Remote; USD 82,000 - 115,000; Full time

Benefits offered by this job

Remote-first organization

Office spaces in select cities

Stock options

Bonuses and merit increases

Job summary

Greenhouse is seeking a senior full-stack engineer to shape employer-facing talent matching and discovery experiences, designing search-backed capabilities and applying AI techniques to ranking and matching while mentoring peers.

You will own backend services, APIs, data modeling, and modern frontend interfaces, using OpenSearch or Elasticsearch, Ruby on Rails, and React in a dynamic, remote-first environment with optional offices.

Qualifications

• 5+ years of production full‑stack experience.
• Strong experience with search, ranking and AI/ML techniques.
• Hands-on with Ruby, Rails, JavaScript/TypeScript and React.

Responsibilities

• Shape requirements and ship end-to-end features for talent matching and rediscovery workflows.
• Design and build search-backed capabilities with indexing, queries, and semantic retrieval.
• Develop matching systems using keyword, structured, and semantic signals.
• Collaborate with ML and cross-functional teams to balance relevance, latency, reliability, and cost.
• Mentor junior engineers; lead code reviews and engineering practices.
• Contribute across backend services, APIs, data modeling, and frontend interfaces.

Skills

Full-stack

OpenSearch

Elasticsearch

Ruby

Ruby on Rails

JavaScript

TypeScript

React

Python

AI/ML

Embeddings

Semantic search

Tools

OpenSearch

Elasticsearch

Ruby on Rails

React

Python

Job description

Greenhouse is seeking a senior full-stack engineer to shape employer-facing talent matching and discovery experiences, designing search-backed capabilities and applying AI techniques to ranking and matching while mentoring peers.

You will own backend services, APIs, data modeling, and modern frontend interfaces, using OpenSearch or Elasticsearch, Ruby on Rails, and React in a dynamic, remote-first environment with optional offices.